code: def call(
      self, sequence: tf.Tensor, state: tf.Tensor
  ) -> Tuple[tf.Tensor, tf.Tensor, tf.Tensor]:
      embed = self.embedding(sequence)
      lstm_out, state_h, state_c = self.lstm(embed, state)
      logits = self.dense(lstm_out)
      return logits, state_h, state_c
  
file_path: headliner/headliner/model/basic_model.py
imports: from typing import Tuple
  import tensorflow
label_desc: Use image node_id 2 for calling the Decoder obj's underlying member method code with example usage: obj.call(sequence, state) and returns: logits,  state_h,  state_c